{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/dander/Documents/Box Sync/Research/DPTE/SurvExpvsDPTE/3PA(R&R)/R&R/Final/Dataverse/InfoPres_Tables_StataLog.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}15 Feb 2018, 15:29:47

{com}. do "/var/folders/57/1217dmf107xg__cyv0600f1h0000gn/T//SD00400.000000"
{txt}
{com}. *******TABLE 1. T-tests and treatment effects of In-Party evaluations, by Information Group
. 
. *In-Party Cand FT
. *News Articles:
. ttest IPCandFT if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22} 63.68041{col 34} 1.572049{col 46} 15.48288{col 58} 60.55992{col 70}  66.8009
     {txt}Yes {c |}{res}{col 12}    103{col 22} 67.12621{col 34} 1.809596{col 46}  18.3654{col 58} 63.53689{col 70} 70.71554
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}   65.455{col 34} 1.207281{col 46} 17.07353{col 58} 63.07429{col 70} 67.83571
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-3.445801{col 34} 2.409329{col 58} -8.19704{col 70} 1.305438
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.4302
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0771         {txt}Pr(|T| > |t|) = {res}0.1542          {txt}Pr(T > t) = {res}0.9229
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandFT if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 63.10784{col 34} 1.600385{col 46}  16.1631{col 58} 59.93311{col 70} 66.28258
     {txt}Yes {c |}{res}{col 12}     87{col 22} 67.47126{col 34} 1.595808{col 46}  14.8847{col 58}  64.2989{col 70} 70.64363
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22}  65.1164{col 34} 1.141925{col 46} 15.69887{col 58} 62.86377{col 70} 67.36903
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-4.363421{col 34} 2.274925{col 58}-8.851237{col 70} .1243943
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.9181
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0283         {txt}Pr(|T| > |t|) = {res}0.0566          {txt}Pr(T > t) = {res}0.9717
{txt}
{com}. 
. *Static Board:
. ttest IPCandFT if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 68.17895{col 34} 2.087502{col 46} 20.34646{col 58} 64.03416{col 70} 72.32373
     {txt}Yes {c |}{res}{col 12}     92{col 22} 68.02174{col 34} 2.332388{col 46} 22.37148{col 58} 63.38874{col 70} 72.65474
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}  68.1016{col 34} 1.558281{col 46} 21.30918{col 58} 65.02743{col 70} 71.17578
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1572082{col 34} 3.125355{col 58}-6.008711{col 70} 6.323128
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.0503
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5200         {txt}Pr(|T| > |t|) = {res}0.9599          {txt}Pr(T > t) = {res}0.4800
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandFT if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22} 64.89189{col 34} 2.088946{col 46} 22.00841{col 58} 60.75209{col 70} 69.03169
     {txt}Yes {c |}{res}{col 12}     89{col 22} 70.85393{col 34} 2.191808{col 46} 20.67747{col 58} 66.49817{col 70} 75.20969
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}   67.545{col 34} 1.525838{col 46}  21.5786{col 58} 64.53611{col 70} 70.55389
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-5.962041{col 34} 3.048749{col 58}-11.97423{col 70} .0501462
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.9556
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0260         {txt}Pr(|T| > |t|) = {res}0.0519          {txt}Pr(T > t) = {res}0.9740
{txt}
{com}. 
. *IPCandLibCon for Republicans
. *News Articles:
. ttest IPCandLibCon if Groups==1 & Republican==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     15{col 22} 4.666667{col 34} .2519763{col 46} .9759001{col 58} 4.126231{col 70} 5.207102
     {txt}Yes {c |}{res}{col 12}     22{col 22} 5.090909{col 34}  .159939{col 46} .7501804{col 58} 4.758298{col 70}  5.42352
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     37{col 22} 4.918919{col 34} .1417309{col 46} .8621156{col 58} 4.631475{col 70} 5.206363
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4242424{col 34}  .283852{col 58}-1.000493{col 70} .1520078
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.4946
{txt}Ho: diff = 0                                     degrees of freedom = {res}      35

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0720         {txt}Pr(|T| > |t|) = {res}0.1440          {txt}Pr(T > t) = {res}0.9280
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandLibCon if Groups==2 & Republican==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     19{col 22} 4.684211{col 34} .2966936{col 46} 1.293257{col 58}  4.06088{col 70} 5.307541
     {txt}Yes {c |}{res}{col 12}     19{col 22} 5.157895{col 34} .2449867{col 46} 1.067872{col 58} 4.643197{col 70} 5.672593
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     38{col 22} 4.921053{col 34} .1937192{col 46} 1.194166{col 58}  4.52854{col 70} 5.313565
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4736842{col 34} .3847669{col 58}-1.254028{col 70} .3066592
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.2311
{txt}Ho: diff = 0                                     degrees of freedom = {res}      36

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1131         {txt}Pr(|T| > |t|) = {res}0.2263          {txt}Pr(T > t) = {res}0.8869
{txt}
{com}. 
. *Static Board:
. ttest IPCandLibCon if Groups==3 & Republican==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     11{col 22}        6{col 34} .2335497{col 46} .7745967{col 58} 5.479619{col 70} 6.520381
     {txt}Yes {c |}{res}{col 12}     26{col 22} 5.115385{col 34} .2308974{col 46}  1.17735{col 58} 4.639843{col 70} 5.590927
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     37{col 22} 5.378378{col 34} .1872487{col 46}  1.13899{col 58}  4.99862{col 70} 5.758136
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .8846154{col 34} .3876454{col 58} .0976534{col 70} 1.671577
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  2.2820
{txt}Ho: diff = 0                                     degrees of freedom = {res}      35

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9857         {txt}Pr(|T| > |t|) = {res}0.0287          {txt}Pr(T > t) = {res}0.0143
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandLibCon if Groups==4 & Republican==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     32{col 22}   5.1875{col 34} .2436181{col 46} 1.378112{col 58} 4.690638{col 70} 5.684362
     {txt}Yes {c |}{res}{col 12}     25{col 22}      5.6{col 34} .2081666{col 46} 1.040833{col 58} 5.170365{col 70} 6.029635
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     57{col 22} 5.368421{col 34} .1653423{col 46} 1.248307{col 58} 5.037201{col 70} 5.699642
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}   -.4125{col 34} .3315897{col 58}-1.077021{col 70} .2520205
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.2440
{txt}Ho: diff = 0                                     degrees of freedom = {res}      55

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1094         {txt}Pr(|T| > |t|) = {res}0.2188          {txt}Pr(T > t) = {res}0.8906
{txt}
{com}. 
. *IPCandLibCon for Democrats
. *News Articles:
. ttest IPCandLibCon if Groups==1 & Democrat==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     63{col 22} 3.222222{col 34} .1227865{col 46} .9745875{col 58} 2.976776{col 70} 3.467669
     {txt}Yes {c |}{res}{col 12}     72{col 22} 3.194444{col 34} .1336248{col 46} 1.133844{col 58} 2.928004{col 70} 3.460885
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    135{col 22} 3.207407{col 34} .0911182{col 46} 1.058697{col 58} 3.027192{col 70} 3.387623
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0277778{col 34} .1833122{col 58}-.3348066{col 70} .3903622
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.1515
{txt}Ho: diff = 0                                     degrees of freedom = {res}     133

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5601         {txt}Pr(|T| > |t|) = {res}0.8798          {txt}Pr(T > t) = {res}0.4399
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandLibCon if Groups==2 & Democrat==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     66{col 22}  3.19697{col 34} .1299448{col 46} 1.055676{col 58} 2.937452{col 70} 3.456487
     {txt}Yes {c |}{res}{col 12}     55{col 22} 3.072727{col 34} .1393939{col 46} 1.033773{col 58} 2.793259{col 70} 3.352195
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    121{col 22} 3.140496{col 34} .0948435{col 46} 1.043278{col 58} 2.952712{col 70} 3.328279
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1242424{col 34}  .190935{col 58}-.2538279{col 70} .5023127
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.6507
{txt}Ho: diff = 0                                     degrees of freedom = {res}     119

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7418         {txt}Pr(|T| > |t|) = {res}0.5165          {txt}Pr(T > t) = {res}0.2582
{txt}
{com}. 
. *Static Board:
. ttest IPCandLibCon if Groups==3 & Democrat==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     66{col 22} 2.621212{col 34} .1444629{col 46} 1.173622{col 58}   2.3327{col 70} 2.909724
     {txt}Yes {c |}{res}{col 12}     50{col 22}     2.48{col 34} .0957889{col 46} .6773297{col 58} 2.287505{col 70} 2.672495
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    116{col 22} 2.560345{col 34} .0918646{col 46} .9894117{col 58} 2.378379{col 70} 2.742311
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1412121{col 34}  .185844{col 58}-.2269434{col 70} .5093677
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.7598
{txt}Ho: diff = 0                                     degrees of freedom = {res}     114

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7755         {txt}Pr(|T| > |t|) = {res}0.4489          {txt}Pr(T > t) = {res}0.2245
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandLibCon if Groups==4 & Democrat==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     57{col 22} 2.824561{col 34} .1875224{col 46} 1.415763{col 58} 2.448909{col 70} 3.200214
     {txt}Yes {c |}{res}{col 12}     53{col 22}  2.54717{col 34} .1414368{col 46} 1.029676{col 58} 2.263356{col 70} 2.830984
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    110{col 22} 2.690909{col 34}  .118895{col 46} 1.246981{col 58} 2.455263{col 70} 2.926555
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2773916{col 34} .2375516{col 58}-.1934768{col 70}   .74826
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  1.1677
{txt}Ho: diff = 0                                     degrees of freedom = {res}     108

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8773         {txt}Pr(|T| > |t|) = {res}0.2455          {txt}Pr(T > t) = {res}0.1227
{txt}
{com}. 
. *IPCandCmpsn
. *News Articles:
. ttest IPCandCmpsn if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22} 3.195876{col 34} .0579563{col 46} .5708031{col 58} 3.080834{col 70} 3.310919
     {txt}Yes {c |}{res}{col 12}    103{col 22} 3.339806{col 34} .0610109{col 46}  .619193{col 58} 3.218791{col 70} 3.460821
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}     3.27{col 34} .0423612{col 46}  .599078{col 58} 3.186466{col 70} 3.353534
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1439295{col 34} .0843565{col 58} -.310282{col 70} .0224229
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.7062
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0448         {txt}Pr(|T| > |t|) = {res}0.0895          {txt}Pr(T > t) = {res}0.9552
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandCmpsn if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 3.098039{col 34} .0548728{col 46} .5541884{col 58} 2.989186{col 70} 3.206892
     {txt}Yes {c |}{res}{col 12}     87{col 22} 3.321839{col 34} .0664007{col 46} .6193442{col 58} 3.189839{col 70} 3.453839
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22} 3.201058{col 34} .0432158{col 46} .5941192{col 58} 3.115808{col 70} 3.286308
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2237999{col 34} .0853823{col 58}-.3922362{col 70}-.0553635
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -2.6212
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0047         {txt}Pr(|T| > |t|) = {res}0.0095          {txt}Pr(T > t) = {res}0.9953
{txt}
{com}. 
. *Static Board:
. ttest IPCandCmpsn if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 3.263158{col 34} .0720994{col 46} .7027382{col 58} 3.120003{col 70} 3.406313
     {txt}Yes {c |}{res}{col 12}     92{col 22}  3.26087{col 34} .0770787{col 46} .7393131{col 58} 3.107762{col 70} 3.413977
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 3.262032{col 34}   .05258{col 46} .7190212{col 58} 3.158302{col 70} 3.365762
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0022883{col 34} .1054574{col 58}-.2057653{col 70}  .210342
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.0217
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5086         {txt}Pr(|T| > |t|) = {res}0.9827          {txt}Pr(T > t) = {res}0.4914
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandCmpsn if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22} 3.171171{col 34} .0711136{col 46} .7492284{col 58} 3.030241{col 70} 3.312102
     {txt}Yes {c |}{res}{col 12}     89{col 22} 3.303371{col 34} .0756391{col 46} .7135776{col 58} 3.153054{col 70} 3.453688
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}     3.23{col 34} .0519519{col 46} .7347101{col 58} 3.127553{col 70} 3.332447
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1321996{col 34} .1043798{col 58}-.3380384{col 70} .0736391
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.2665
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1034         {txt}Pr(|T| > |t|) = {res}0.2068          {txt}Pr(T > t) = {res}0.8966
{txt}
{com}. 
. *IPCandComp
. *News Articles:
. ttest IPCandComp if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22} 3.340206{col 34} .0584129{col 46} .5753006{col 58} 3.224257{col 70} 3.456155
     {txt}Yes {c |}{res}{col 12}    103{col 22} 3.485437{col 34} .0549546{col 46} .5577278{col 58} 3.376435{col 70} 3.594439
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}    3.415{col 34} .0402739{col 46} .5695586{col 58} 3.335582{col 70} 3.494418
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1452307{col 34} .0801253{col 58}-.3032391{col 70} .0127777
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.8125
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0357         {txt}Pr(|T| > |t|) = {res}0.0714          {txt}Pr(T > t) = {res}0.9643
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandComp if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 3.284314{col 34} .0673679{col 46} .6803821{col 58} 3.150674{col 70} 3.417953
     {txt}Yes {c |}{res}{col 12}     87{col 22} 3.448276{col 34} .0649031{col 46} .6053755{col 58} 3.319253{col 70} 3.577299
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22} 3.359788{col 34} .0473116{col 46}  .650427{col 58} 3.266459{col 70} 3.453118
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1639621{col 34} .0944178{col 58}-.3502231{col 70} .0222988
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.7366
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0421         {txt}Pr(|T| > |t|) = {res}0.0841          {txt}Pr(T > t) = {res}0.9579
{txt}
{com}. 
. *Static Board:
. ttest IPCandComp if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 3.378947{col 34} .0720504{col 46}   .70226{col 58}  3.23589{col 70} 3.522005
     {txt}Yes {c |}{res}{col 12}     92{col 22} 3.315217{col 34} .0672463{col 46} .6450036{col 58} 3.181641{col 70} 3.448794
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 3.347594{col 34} .0492618{col 46} .6736453{col 58}  3.25041{col 70} 3.444777
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}   .06373{col 34} .0986911{col 58}-.1309748{col 70} .2584347
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.6458
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7404         {txt}Pr(|T| > |t|) = {res}0.5192          {txt}Pr(T > t) = {res}0.2596
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandComp if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22} 3.324324{col 34} .0679188{col 46} .7155692{col 58} 3.189725{col 70} 3.458923
     {txt}Yes {c |}{res}{col 12}     89{col 22} 3.426966{col 34} .0781026{col 46} .7368181{col 58} 3.271754{col 70} 3.582179
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}     3.37{col 34} .0512703{col 46} .7250715{col 58} 3.268897{col 70} 3.471103
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.102642{col 34} .1031693{col 58}-.3060936{col 70} .1008097
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.9949
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1605         {txt}Pr(|T| > |t|) = {res}0.3210          {txt}Pr(T > t) = {res}0.8395
{txt}
{com}. 
. *IPCandLead
. *News Articles:
. ttest IPCandLead if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22} 3.278351{col 34} .0599654{col 46} .5905906{col 58}  3.15932{col 70} 3.397381
     {txt}Yes {c |}{res}{col 12}    103{col 22} 3.281553{col 34} .0623444{col 46} .6327264{col 58} 3.157894{col 70} 3.405213
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}     3.28{col 34} .0432127{col 46} .6111197{col 58} 3.194786{col 70} 3.365214
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0032029{col 34} .0866821{col 58}-.1741414{col 70} .1677357
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.0369
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4853         {txt}Pr(|T| > |t|) = {res}0.9706          {txt}Pr(T > t) = {res}0.5147
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandLead if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 3.166667{col 34} .0624413{col 46} .6306265{col 58}   3.0428{col 70} 3.290533
     {txt}Yes {c |}{res}{col 12}     87{col 22} 3.241379{col 34} .0632488{col 46} .5899452{col 58} 3.115645{col 70} 3.367114
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22} 3.201058{col 34} .0444992{col 46} .6117632{col 58} 3.113276{col 70}  3.28884
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0747126{col 34} .0893516{col 58}-.2509793{col 70}  .101554
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.8362
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2021         {txt}Pr(|T| > |t|) = {res}0.4041          {txt}Pr(T > t) = {res}0.7979
{txt}
{com}. 
. *Static Board:
. ttest IPCandLead if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 3.210526{col 34} .0615127{col 46} .5995519{col 58} 3.088391{col 70} 3.332661
     {txt}Yes {c |}{res}{col 12}     92{col 22} 3.097826{col 34} .0709296{col 46} .6803325{col 58} 2.956933{col 70} 3.238719
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22}  3.15508{col 34} .0468987{col 46} .6413304{col 58} 3.062558{col 70} 3.247602
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1127002{col 34} .0936971{col 58}-.0721519{col 70} .2975523
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  1.2028
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8847         {txt}Pr(|T| > |t|) = {res}0.2306          {txt}Pr(T > t) = {res}0.1153
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandLead if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22}  3.18018{col 34} .0691568{col 46} .7286126{col 58} 3.043128{col 70} 3.317233
     {txt}Yes {c |}{res}{col 12}     89{col 22} 3.280899{col 34} .0798824{col 46}  .753609{col 58} 3.122149{col 70} 3.439648
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}    3.225{col 34} .0523025{col 46} .7396692{col 58} 3.121862{col 70} 3.328138
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1007187{col 34}  .105266{col 58}-.3083052{col 70} .1068678
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.9568
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1699         {txt}Pr(|T| > |t|) = {res}0.3398          {txt}Pr(T > t) = {res}0.8301
{txt}
{com}. 
. *IPCandTrust
. *News Articles:
. ttest IPCandTrust if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22} 3.041237{col 34} .0602784{col 46} .5936737{col 58} 2.921585{col 70} 3.160889
     {txt}Yes {c |}{res}{col 12}    103{col 22} 3.339806{col 34} .0625516{col 46}  .634829{col 58} 3.215735{col 70} 3.463877
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}    3.195{col 34} .0446637{col 46} .6316406{col 58} 3.106925{col 70} 3.283075
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2985687{col 34} .0870443{col 58}-.4702215{col 70}-.1269159
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -3.4301
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0004         {txt}Pr(|T| > |t|) = {res}0.0007          {txt}Pr(T > t) = {res}0.9996
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandTrust if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 3.078431{col 34} .0633717{col 46} .6400228{col 58} 2.952719{col 70} 3.204144
     {txt}Yes {c |}{res}{col 12}     87{col 22} 3.333333{col 34} .0706382{col 46} .6588691{col 58} 3.192909{col 70} 3.473757
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22} 3.195767{col 34}  .047968{col 46}  .659451{col 58} 3.101143{col 70} 3.290392
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.254902{col 34} .0946791{col 58}-.4416783{col 70}-.0681256
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -2.6923
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0039         {txt}Pr(|T| > |t|) = {res}0.0077          {txt}Pr(T > t) = {res}0.9961
{txt}
{com}. 
. *Static Board:
. ttest IPCandTrust if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 3.105263{col 34}  .072507{col 46} .7067108{col 58} 2.961299{col 70} 3.249227
     {txt}Yes {c |}{res}{col 12}     92{col 22} 3.065217{col 34} .0670239{col 46} .6428704{col 58} 2.932083{col 70} 3.198352
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 3.085561{col 34} .0493273{col 46} .6745409{col 58} 2.988249{col 70} 3.182874
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0400458{col 34} .0988898{col 58} -.155051{col 70} .2351425
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.4050
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6570         {txt}Pr(|T| > |t|) = {res}0.6860          {txt}Pr(T > t) = {res}0.3430
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandTrust if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22} 3.171171{col 34} .0699525{col 46} .7369948{col 58} 3.032542{col 70} 3.309801
     {txt}Yes {c |}{res}{col 12}     89{col 22} 3.191011{col 34} .0843717{col 46} .7959615{col 58}  3.02334{col 70} 3.358682
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}     3.18{col 34}  .053875{col 46} .7619072{col 58} 3.073761{col 70} 3.286239
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0198401{col 34} .1086721{col 58}-.2341433{col 70} .1944632
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.1826
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4277         {txt}Pr(|T| > |t|) = {res}0.8553          {txt}Pr(T > t) = {res}0.5723
{txt}
{com}. 
. *IPCandEcon
. *News Articles:
. ttest IPCandEcon if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22} 2.979381{col 34} .0621414{col 46} .6120216{col 58} 2.856032{col 70} 3.102731
     {txt}Yes {c |}{res}{col 12}    103{col 22} 3.213592{col 34} .0626991{col 46} .6363266{col 58} 3.089229{col 70} 3.337956
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}      3.1{col 34} .0448336{col 46} .6340426{col 58}  3.01159{col 70}  3.18841
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2342108{col 34} .0883801{col 58}-.4084979{col 70}-.0599237
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -2.6500
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0043         {txt}Pr(|T| > |t|) = {res}0.0087          {txt}Pr(T > t) = {res}0.9957
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandEcon if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 2.921569{col 34} .0719777{col 46} .7269395{col 58} 2.778784{col 70} 3.064353
     {txt}Yes {c |}{res}{col 12}     87{col 22}  3.16092{col 34}  .072886{col 46} .6798352{col 58} 3.016027{col 70} 3.305812
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22} 3.031746{col 34} .0519272{col 46} .7138803{col 58} 2.929311{col 70} 3.134181
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2393509{col 34} .1029843{col 58}-.4425113{col 70}-.0361905
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -2.3241
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0106         {txt}Pr(|T| > |t|) = {res}0.0212          {txt}Pr(T > t) = {res}0.9894
{txt}
{com}. 
. *Static Board:
. ttest IPCandEcon if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 3.126316{col 34} .0705793{col 46} .6879217{col 58} 2.986179{col 70} 3.266453
     {txt}Yes {c |}{res}{col 12}     92{col 22} 3.054348{col 34} .0714403{col 46} .6852309{col 58} 2.912441{col 70} 3.196255
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 3.090909{col 34} .0501434{col 46} .6857009{col 58} 2.991986{col 70} 3.189832
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .071968{col 34} .1004312{col 58}-.1261697{col 70} .2701056
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.7166
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7627         {txt}Pr(|T| > |t|) = {res}0.4745          {txt}Pr(T > t) = {res}0.2373
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandEcon if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22} 3.054054{col 34} .0766175{col 46} .8072156{col 58} 2.902216{col 70} 3.205892
     {txt}Yes {c |}{res}{col 12}     89{col 22} 3.123596{col 34} .0779923{col 46} .7357776{col 58} 2.968602{col 70} 3.278589
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}    3.085{col 34} .0548078{col 46} .7750993{col 58} 2.976921{col 70} 3.193079
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0695415{col 34} .1104525{col 58}-.2873557{col 70} .1482728
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.6296
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2648         {txt}Pr(|T| > |t|) = {res}0.5297          {txt}Pr(T > t) = {res}0.7352
{txt}
{com}. 
. *IPCandMil
. *News Articles:
. ttest IPCandMil if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22} 2.742268{col 34} .0736831{col 46} .7256944{col 58} 2.596008{col 70} 2.888528
     {txt}Yes {c |}{res}{col 12}    103{col 22} 2.718447{col 34}  .077336{col 46} .7848751{col 58} 2.565051{col 70} 2.871842
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}     2.73{col 34}  .053383{col 46} .7549502{col 58} 2.624731{col 70} 2.835269
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0238214{col 34} .1070702{col 58}-.1873228{col 70} .2349657
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.2225
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5879         {txt}Pr(|T| > |t|) = {res}0.8242          {txt}Pr(T > t) = {res}0.4121
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandMil if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 2.803922{col 34} .0697212{col 46} .7041492{col 58} 2.665614{col 70}  2.94223
     {txt}Yes {c |}{res}{col 12}     87{col 22} 2.850575{col 34} .0809737{col 46} .7552719{col 58} 2.689604{col 70} 3.011545
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22} 2.825397{col 34} .0528481{col 46} .7265413{col 58} 2.721145{col 70} 2.929648
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0466531{col 34}  .106259{col 58}-.2562736{col 70} .1629674
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.4391
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3306         {txt}Pr(|T| > |t|) = {res}0.6611          {txt}Pr(T > t) = {res}0.6694
{txt}
{com}. 
. *Static Board:
. ttest IPCandMil if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 2.873684{col 34} .0721484{col 46} .7032161{col 58} 2.730432{col 70} 3.016937
     {txt}Yes {c |}{res}{col 12}     92{col 22} 2.891304{col 34}  .076436{col 46}  .733148{col 58} 2.739474{col 70} 3.043135
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 2.882353{col 34}  .052375{col 46} .7162168{col 58} 2.779028{col 70} 2.985678
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0176201{col 34} .1050382{col 58}-.2248468{col 70} .1896065
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.1677
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4335         {txt}Pr(|T| > |t|) = {res}0.8670          {txt}Pr(T > t) = {res}0.5665
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandMil if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22} 2.954955{col 34} .0803222{col 46} .8462472{col 58} 2.795775{col 70} 3.114135
     {txt}Yes {c |}{res}{col 12}     89{col 22}        3{col 34} .0889733{col 46} .8393721{col 58} 2.823184{col 70} 3.176816
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}    2.975{col 34} .0594943{col 46} .8413766{col 58}  2.85768{col 70}  3.09232
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.045045{col 34} .1199743{col 58}-.2816365{col 70} .1915464
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.3755
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3539         {txt}Pr(|T| > |t|) = {res}0.7077          {txt}Pr(T > t) = {res}0.6461
{txt}
{com}. 
. *IPCandPoor
. *News Articles:
. ttest IPCandPoor if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22}  3.14433{col 34} .0761364{col 46} .7498568{col 58}   2.9932{col 70}  3.29546
     {txt}Yes {c |}{res}{col 12}    103{col 22}  3.31068{col 34} .0703925{col 46} .7144054{col 58} 3.171057{col 70} 3.450303
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}     3.23{col 34} .0519519{col 46} .7347101{col 58} 3.127553{col 70} 3.332447
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1663497{col 34} .1035399{col 58}-.3705323{col 70} .0378329
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.6066
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0549         {txt}Pr(|T| > |t|) = {res}0.1097          {txt}Pr(T > t) = {res}0.9451
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandPoor if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 3.058824{col 34} .0708047{col 46} .7150923{col 58} 2.918366{col 70} 3.199281
     {txt}Yes {c |}{res}{col 12}     87{col 22} 3.195402{col 34} .0650685{col 46}  .606919{col 58}  3.06605{col 70} 3.324754
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22} 3.121693{col 34} .0486798{col 46} .6692369{col 58} 3.025664{col 70} 3.217722
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1365788{col 34} .0974179{col 58} -.328758{col 70} .0556005
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.4020
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0813         {txt}Pr(|T| > |t|) = {res}0.1626          {txt}Pr(T > t) = {res}0.9187
{txt}
{com}. 
. *Static Board:
. ttest IPCandPoor if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 3.157895{col 34} .0901856{col 46} .8790201{col 58} 2.978829{col 70}  3.33696
     {txt}Yes {c |}{res}{col 12}     92{col 22} 3.173913{col 34} .0750994{col 46}  .720328{col 58} 3.024737{col 70} 3.323089
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 3.165775{col 34} .0587032{col 46} .8027539{col 58} 3.049966{col 70} 3.281585
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0160183{col 34} .1177325{col 58}-.2482892{col 70} .2162526
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.1361
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4460         {txt}Pr(|T| > |t|) = {res}0.8919          {txt}Pr(T > t) = {res}0.5540
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandPoor if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22} 3.081081{col 34} .0850255{col 46} .8957996{col 58}  2.91258{col 70} 3.249582
     {txt}Yes {c |}{res}{col 12}     89{col 22} 3.044944{col 34} .0930558{col 46} .8778863{col 58} 2.860015{col 70} 3.229873
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}    3.065{col 34} .0626378{col 46} .8858321{col 58} 2.941481{col 70} 3.188519
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0361373{col 34} .1263322{col 58}-.2129921{col 70} .2852666
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.2860
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6124         {txt}Pr(|T| > |t|) = {res}0.7751          {txt}Pr(T > t) = {res}0.3876
{txt}
{com}. 
. *IPCandWages
. *News Articles:
. ttest IPCandWages if Groups==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     97{col 22} 2.958763{col 34} .0686103{col 46}  .675733{col 58} 2.822573{col 70} 3.094953
     {txt}Yes {c |}{res}{col 12}    103{col 22} 3.427184{col 34} .0737894{col 46} .7488808{col 58} 3.280824{col 70} 3.573545
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}      3.2{col 34} .0530478{col 46} .7502094{col 58} 3.095392{col 70} 3.304608
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4684216{col 34}   .10107{col 58}-.6677334{col 70}-.2691098
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -4.6346
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *Minimal Dynamic Board
. ttest IPCandWages if Groups==2, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    102{col 22} 2.901961{col 34} .0703733{col 46} .7107353{col 58} 2.762359{col 70} 3.041562
     {txt}Yes {c |}{res}{col 12}     87{col 22} 3.356322{col 34} .0730754{col 46} .6816023{col 58} 3.211053{col 70} 3.501591
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    189{col 22} 3.111111{col 34} .0532271{col 46}  .731752{col 58} 3.006112{col 70}  3.21611
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4543611{col 34} .1017907{col 58}-.6551668{col 70}-.2535554
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -4.4637
{txt}Ho: diff = 0                                     degrees of freedom = {res}     187

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *Static Board:
. ttest IPCandWages if Groups==3, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     95{col 22} 3.168421{col 34} .0727828{col 46} .7093994{col 58} 3.023909{col 70} 3.312933
     {txt}Yes {c |}{res}{col 12}     92{col 22} 3.184783{col 34}  .074011{col 46} .7098885{col 58} 3.037769{col 70} 3.331796
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    187{col 22} 3.176471{col 34} .0517578{col 46} .7077773{col 58} 3.074363{col 70} 3.278578
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0163616{col 34} .1038014{col 58}-.2211482{col 70} .1884251
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.1576
{txt}Ho: diff = 0                                     degrees of freedom = {res}     185

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4375         {txt}Pr(|T| > |t|) = {res}0.8749          {txt}Pr(T > t) = {res}0.5625
{txt}
{com}. 
. *Maximum Dynamic Board
. ttest IPCandWages if Groups==4, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    111{col 22}  2.90991{col 34} .0784259{col 46} .8262682{col 58} 2.754488{col 70} 3.065332
     {txt}Yes {c |}{res}{col 12}     89{col 22} 3.179775{col 34} .0838943{col 46} .7914572{col 58} 3.013053{col 70} 3.346498
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    200{col 22}     3.03{col 34} .0579854{col 46}  .820038{col 58} 2.915655{col 70} 3.144345
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2698654{col 34} .1153903{col 58} -.497417{col 70}-.0423137
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -2.3387
{txt}Ho: diff = 0                                     degrees of freedom = {res}     198

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0102         {txt}Pr(|T| > |t|) = {res}0.0203          {txt}Pr(T > t) = {res}0.9898
{txt}
{com}. 
. 
. 
. 
. 
. 
. *******TABLE 2. T-tests, treatment effects and Difference-in-Differences of In-Party evaluations, by Information Level*******
. 
. *In-Party Cand FT
. *LowInfo:
. ttest IPCandFT if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 63.38693{col 34} 1.119879{col 46} 15.79784{col 58} 61.17851{col 70} 65.59536
     {txt}Yes {c |}{res}{col 12}    190{col 22} 67.28421{col 34} 1.220162{col 46} 16.81877{col 58} 64.87732{col 70}  69.6911
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22} 65.29049{col 34} .8315038{col 46} 16.39982{col 58} 63.65567{col 70} 66.92531
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-3.897276{col 34} 1.653777{col 58}-7.148788{col 70}-.6457638
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -2.3566
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0095         {txt}Pr(|T| > |t|) = {res}0.0189          {txt}Pr(T > t) = {res}0.9905
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}16.39981886428744
               {txt}r(sd_2) =  {res}16.81877456727636
               {txt}r(sd_1) =  {res}15.79783996712918
                 {txt}r(se) =  {res}1.653776961407952
                {txt}r(p_u) =  {res}.9905294217733156
                {txt}r(p_l) =  {res}.0094705782266844
                  {txt}r(p) =  {res}.0189411564533688
                  {txt}r(t) =  {res}-2.356590969577296
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}67.28421052631579
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}63.38693467336683
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandFT if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 66.40777{col 34} 1.481976{col 46} 21.27036{col 58}  63.4859{col 70} 69.32964
     {txt}Yes {c |}{res}{col 12}    181{col 22} 69.41436{col 34} 1.601219{col 46}  21.5422{col 58} 66.25479{col 70} 72.57394
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 67.81395{col 34} 1.088986{col 46} 21.42287{col 58} 65.67287{col 70} 69.95504
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-3.006598{col 34} 2.179984{col 58}-7.292762{col 70} 1.279567
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.3792
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0843         {txt}Pr(|T| > |t|) = {res}0.1686          {txt}Pr(T > t) = {res}0.9157
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}21.42287072938607
               {txt}r(sd_2) =  {res}21.54219666039625
               {txt}r(sd_1) =  {res}21.27035582543375
                 {txt}r(se) =  {res}2.179984144145879
                {txt}r(p_u) =  {res}.9156805529661879
                {txt}r(p_l) =  {res}.0843194470338121
                  {txt}r(p) =  {res}.1686388940676241
                  {txt}r(t) =  {res}-1.37918326546852
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}69.41436464088397
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}66.40776699029126
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22}-3.897276{col 34} 1.653777{col 46} 32.61758{col 58}-7.148762{col 70}-.6457902
       {txt}y {c |}{res}{col 12}    387{col 22}-3.006598{col 34} 2.179984{col 46} 42.88534{col 58}-7.292727{col 70} 1.279532
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-3.453085{col 34} 1.366412{col 46} 38.06382{col 58}-6.135391{col 70} -.770778
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.8906782{col 34} 2.736295{col 58} -6.26274{col 70} 4.481383
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -0.3255
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 720.673

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3724         {txt}Pr(|T| > |t|) = {res}0.7449          {txt}Pr(T > t) = {res}0.6276
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandLibCon for Republicans
. *LowInfo:
. ttest IPCandLibCon if MaxInfo==0 & Republican==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     34{col 22} 4.676471{col 34} .1967679{col 46} 1.147344{col 58} 4.276143{col 70} 5.076798
     {txt}Yes {c |}{res}{col 12}     41{col 22} 5.121951{col 34} .1405352{col 46} .8998645{col 58} 4.837919{col 70} 5.405983
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     75{col 22}     4.92{col 34} .1196993{col 46} 1.036627{col 58} 4.681494{col 70} 5.158506
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4454806{col 34} .2364081{col 58}-.9166414{col 70} .0256801
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.8844
{txt}Ho: diff = 0                                     degrees of freedom = {res}      73

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0317         {txt}Pr(|T| > |t|) = {res}0.0635          {txt}Pr(T > t) = {res}0.9683
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}1.036626545383917
               {txt}r(sd_2) =  {res}.8998644884431075
               {txt}r(sd_1) =  {res}1.147344450018181
                 {txt}r(se) =  {res}.236408131297784
                {txt}r(p_u) =  {res}.9682518669440965
                {txt}r(p_l) =  {res}.0317481330559035
                  {txt}r(p) =  {res}.063496266111807
                  {txt}r(t) =  {res}-1.884371019014424
               {txt}r(df_t) =  {res}73
               {txt}r(mu_2) =  {res}5.121951219512195
                {txt}r(N_2) =  {res}41
               {txt}r(mu_1) =  {res}4.676470588235294
                {txt}r(N_1) =  {res}34
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandLibCon if MaxInfo==1 & Republican==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}     43{col 22} 5.395349{col 34} .1972669{col 46} 1.293565{col 58} 4.997248{col 70} 5.793449
     {txt}Yes {c |}{res}{col 12}     51{col 22} 5.352941{col 34} .1579862{col 46} 1.128247{col 58} 5.035617{col 70} 5.670266
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     94{col 22}  5.37234{col 34} .1237928{col 46} 1.200215{col 58} 5.126513{col 70} 5.618168
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0424077{col 34} .2497948{col 58}-.4537063{col 70} .5385217
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.1698
{txt}Ho: diff = 0                                     degrees of freedom = {res}      92

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5672         {txt}Pr(|T| > |t|) = {res}0.8656          {txt}Pr(T > t) = {res}0.4328
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}1.200215415729466
               {txt}r(sd_2) =  {res}1.12824694835421
               {txt}r(sd_1) =  {res}1.293565299835726
                 {txt}r(se) =  {res}.249794777754925
                {txt}r(p_u) =  {res}.4327818862708827
                {txt}r(p_l) =  {res}.5672181137291172
                  {txt}r(p) =  {res}.8655637725417654
                  {txt}r(t) =  {res}.169770005281378
               {txt}r(df_t) =  {res}92
               {txt}r(mu_2) =  {res}5.352941176470588
                {txt}r(N_2) =  {res}51
               {txt}r(mu_1) =  {res}5.395348837209302
                {txt}r(N_1) =  {res}43
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}     75{col 22}-.4454806{col 34} .2364081{col 46} 2.047354{col 58}-.9165341{col 70} .0255728
       {txt}y {c |}{res}{col 12}     94{col 22} .0424077{col 34} .2497948{col 46}  2.42185{col 58}-.4536353{col 70} .5384506
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    169{col 22}-.1741108{col 34} .1746057{col 46} 2.269874{col 58}-.5188148{col 70} .1705931
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4878883{col 34} .3439277{col 58}-1.166912{col 70} .1911354
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -1.4186
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 166.418

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0789         {txt}Pr(|T| > |t|) = {res}0.1579          {txt}Pr(T > t) = {res}0.9211
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandLibCon for Democrats
. *LowInfo:
. ttest IPCandLibCon if MaxInfo==0 & Democrat==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    129{col 22} 3.209302{col 34} .0891894{col 46} 1.012997{col 58} 3.032826{col 70} 3.385779
     {txt}Yes {c |}{res}{col 12}    127{col 22} 3.141732{col 34} .0966405{col 46} 1.089083{col 58} 2.950484{col 70} 3.332981
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    256{col 22} 3.175781{col 34} .0656194{col 46} 1.049911{col 58} 3.046556{col 70} 3.305006
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}   .06757{col 34} .1314326{col 58}-.1912665{col 70} .3264065
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.5141
{txt}Ho: diff = 0                                     degrees of freedom = {res}     254

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6962         {txt}Pr(|T| > |t|) = {res}0.6076          {txt}Pr(T > t) = {res}0.3038
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}1.049911002297384
               {txt}r(sd_2) =  {res}1.089082979980332
               {txt}r(sd_1) =  {res}1.012996935186713
                 {txt}r(se) =  {res}.131432614729686
                {txt}r(p_u) =  {res}.3038131055887616
                {txt}r(p_l) =  {res}.6961868944112384
                  {txt}r(p) =  {res}.6076262111775231
                  {txt}r(t) =  {res}.5141040696466187
               {txt}r(df_t) =  {res}254
               {txt}r(mu_2) =  {res}3.141732283464567
                {txt}r(N_2) =  {res}127
               {txt}r(mu_1) =  {res}3.209302325581395
                {txt}r(N_1) =  {res}129
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandLibCon if MaxInfo==1 & Democrat==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    123{col 22} 2.715447{col 34} .1163212{col 46} 1.290065{col 58} 2.485178{col 70} 2.945717
     {txt}Yes {c |}{res}{col 12}    103{col 22} 2.514563{col 34} .0860143{col 46} .8729494{col 58} 2.343954{col 70} 2.685172
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    226{col 22} 2.623894{col 34} .0746056{col 46} 1.121568{col 58} 2.476879{col 70} 2.770909
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .200884{col 34} .1495318{col 58}-.0937849{col 70}  .495553
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  1.3434
{txt}Ho: diff = 0                                     degrees of freedom = {res}     224

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9098         {txt}Pr(|T| > |t|) = {res}0.1805          {txt}Pr(T > t) = {res}0.0902
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}1.121568293757208
               {txt}r(sd_2) =  {res}.8729494479209821
               {txt}r(sd_1) =  {res}1.290064969791375
                 {txt}r(se) =  {res}.1495317684959027
                {txt}r(p_u) =  {res}.0902476163954447
                {txt}r(p_l) =  {res}.9097523836045553
                  {txt}r(p) =  {res}.1804952327908894
                  {txt}r(t) =  {res}1.343420529938641
               {txt}r(df_t) =  {res}224
               {txt}r(mu_2) =  {res}2.514563106796117
                {txt}r(N_2) =  {res}103
               {txt}r(mu_1) =  {res}2.715447154471545
                {txt}r(N_1) =  {res}123
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    256{col 22}   .06757{col 34} .1314326{col 46} 2.102922{col 58}-.1912616{col 70} .3264017
       {txt}y {c |}{res}{col 12}    226{col 22}  .200884{col 34} .1495318{col 46} 2.247955{col 58}-.0937778{col 70} .4955459
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    482{col 22} .1300783{col 34} .0988806{col 46} 2.170875{col 58}-.0642131{col 70} .3243697
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.133314{col 34} .1990836{col 58}-.5245332{col 70} .2579052
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -0.6696
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 463.075

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2517         {txt}Pr(|T| > |t|) = {res}0.5034          {txt}Pr(T > t) = {res}0.7483
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandCmpsn
. *LowInfo:
. ttest IPCandCmpsn if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 3.145729{col 34} .0399145{col 46} .5630628{col 58} 3.067017{col 70} 3.224441
     {txt}Yes {c |}{res}{col 12}    190{col 22} 3.331579{col 34} .0448117{col 46}  .617687{col 58} 3.243184{col 70} 3.419974
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22} 3.236504{col 34} .0302642{col 46} .5969028{col 58} 3.177002{col 70} 3.296006
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1858503{col 34} .0598821{col 58}-.3035852{col 70}-.0681154
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -3.1036
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0010         {txt}Pr(|T| > |t|) = {res}0.0021          {txt}Pr(T > t) = {res}0.9990
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.596902755994608
               {txt}r(sd_2) =  {res}.617686956535443
               {txt}r(sd_1) =  {res}.5630628243592561
                 {txt}r(se) =  {res}.059882074150953
                {txt}r(p_u) =  {res}.9989738622014085
                {txt}r(p_l) =  {res}.0010261377985915
                  {txt}r(p) =  {res}.0020522755971831
                  {txt}r(t) =  {res}-3.103604990098412
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}3.331578947368421
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}3.14572864321608
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandCmpsn if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 3.213592{col 34} .0507117{col 46}   .72785{col 58} 3.113609{col 70} 3.313576
     {txt}Yes {c |}{res}{col 12}    181{col 22} 3.281768{col 34} .0538938{col 46} .7250664{col 58} 3.175423{col 70} 3.388113
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 3.245478{col 34} .0369253{col 46} .7264071{col 58} 3.172878{col 70} 3.318078
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0681757{col 34} .0740198{col 58}-.2137094{col 70}  .077358
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.9210
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1788         {txt}Pr(|T| > |t|) = {res}0.3576          {txt}Pr(T > t) = {res}0.8212
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.726407132882703
               {txt}r(sd_2) =  {res}.7250664117250978
               {txt}r(sd_1) =  {res}.7278499635916423
                 {txt}r(se) =  {res}.0740198202861207
                {txt}r(p_u) =  {res}.8211986332972173
                {txt}r(p_l) =  {res}.1788013667027827
                  {txt}r(p) =  {res}.3576027334055653
                  {txt}r(t) =  {res}-.9210468564752677
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}3.281767955801105
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}3.213592233009709
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22}-.1858503{col 34} .0598821{col 46} 1.181059{col 58}-.3035843{col 70}-.0681163
       {txt}y {c |}{res}{col 12}    387{col 22}-.0681757{col 34} .0740198{col 46} 1.456141{col 58}-.2137082{col 70} .0773568
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-.1271647{col 34} .0475954{col 46} 1.325853{col 58}-.2205957{col 70}-.0337336
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1176746{col 34} .0952092{col 58}-.3045866{col 70} .0692374
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -1.2360
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 740.883

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1084         {txt}Pr(|T| > |t|) = {res}0.2169          {txt}Pr(T > t) = {res}0.8916
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandComp
. *LowInfo:
. ttest IPCandComp if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 3.311558{col 34} .0446871{col 46} .6303896{col 58} 3.223434{col 70} 3.399682
     {txt}Yes {c |}{res}{col 12}    190{col 22} 3.468421{col 34} .0419885{col 46} .5787714{col 58} 3.385595{col 70} 3.551247
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22} 3.388175{col 34} .0309294{col 46} .6100228{col 58} 3.327365{col 70} 3.448985
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1568633{col 34}   .06144{col 58}-.2776611{col 70}-.0360654
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -2.5531
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0055         {txt}Pr(|T| > |t|) = {res}0.0111          {txt}Pr(T > t) = {res}0.9945
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.6100228238782111
               {txt}r(sd_2) =  {res}.5787713967648814
               {txt}r(sd_1) =  {res}.6303895584326767
                 {txt}r(se) =  {res}.0614399551050912
                {txt}r(p_u) =  {res}.9944703815725922
                {txt}r(p_l) =  {res}.0055296184274079
                  {txt}r(p) =  {res}.0110592368548158
                  {txt}r(t) =  {res}-2.553114881326754
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}3.468421052631579
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}3.311557788944723
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandComp if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 3.349515{col 34} .0493469{col 46} .7082612{col 58} 3.252222{col 70} 3.446807
     {txt}Yes {c |}{res}{col 12}    181{col 22} 3.370166{col 34}  .051437{col 46} .6920135{col 58} 3.268669{col 70} 3.471663
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 3.359173{col 34} .0355769{col 46} .6998796{col 58} 3.289224{col 70} 3.429122
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0206512{col 34} .0713875{col 58}-.1610093{col 70} .1197069
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.2893
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3863         {txt}Pr(|T| > |t|) = {res}0.7725          {txt}Pr(T > t) = {res}0.6137
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.6998795888304233
               {txt}r(sd_2) =  {res}.6920135476661338
               {txt}r(sd_1) =  {res}.7082611873758006
                 {txt}r(se) =  {res}.0713874725022853
                {txt}r(p_u) =  {res}.6137397365825198
                {txt}r(p_l) =  {res}.3862602634174802
                  {txt}r(p) =  {res}.7725205268349604
                  {txt}r(t) =  {res}-.2892830075878793
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}3.370165745856354
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}3.349514563106796
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22}-.1568633{col 34}   .06144{col 46} 1.211785{col 58}-.2776602{col 70}-.0360664
       {txt}y {c |}{res}{col 12}    387{col 22}-.0206512{col 34} .0713875{col 46} 1.404357{col 58}-.1610081{col 70} .1197058
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-.0889328{col 34} .0471083{col 46} 1.312286{col 58}-.1814078{col 70} .0035423
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1362121{col 34} .0941862{col 58}-.3211094{col 70} .0486852
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -1.4462
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 756.627

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0743         {txt}Pr(|T| > |t|) = {res}0.1485          {txt}Pr(T > t) = {res}0.9257
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandLead
. *LowInfo:
. ttest IPCandLead if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 3.221106{col 34} .0434162{col 46} .6124605{col 58} 3.135488{col 70} 3.306723
     {txt}Yes {c |}{res}{col 12}    190{col 22} 3.263158{col 34} .0444159{col 46} .6122303{col 58} 3.175543{col 70} 3.350772
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22} 3.241645{col 34} .0310256{col 46} .6119206{col 58} 3.180646{col 70} 3.302645
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0420524{col 34} .0621112{col 58}  -.16417{col 70} .0800652
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.6770
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2494         {txt}Pr(|T| > |t|) = {res}0.4988          {txt}Pr(T > t) = {res}0.7506
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.6119205591669479
               {txt}r(sd_2) =  {res}.6122303110540365
               {txt}r(sd_1) =  {res}.612460498763021
                 {txt}r(se) =  {res}.0621111873008735
                {txt}r(p_u) =  {res}.7506105721119332
                {txt}r(p_l) =  {res}.2493894278880669
                  {txt}r(p) =  {res}.4987788557761338
                  {txt}r(t) =  {res}-.677049802557221
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}3.263157894736842
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}3.221105527638191
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandLead if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 3.194175{col 34}  .046734{col 46} .6707586{col 58} 3.102034{col 70} 3.286316
     {txt}Yes {c |}{res}{col 12}    181{col 22} 3.187845{col 34} .0536035{col 46} .7211613{col 58} 3.082073{col 70} 3.293617
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 3.191214{col 34} .0352722{col 46} .6938855{col 58} 3.121865{col 70} 3.260564
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0063295{col 34}  .070783{col 58}-.1328402{col 70} .1454991
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.0894
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5356         {txt}Pr(|T| > |t|) = {res}0.9288          {txt}Pr(T > t) = {res}0.4644
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.6938854506690366
               {txt}r(sd_2) =  {res}.721161330650116
               {txt}r(sd_1) =  {res}.6707586156960108
                 {txt}r(se) =  {res}.0707830290969777
                {txt}r(p_u) =  {res}.4643971176372427
                {txt}r(p_l) =  {res}.5356028823627573
                  {txt}r(p) =  {res}.9287942352744853
                  {txt}r(t) =  {res}.0894204937948774
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}3.187845303867404
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}3.194174757281553
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22}-.0420524{col 34} .0621112{col 46} 1.225024{col 58} -.164169{col 70} .0800642
       {txt}y {c |}{res}{col 12}    387{col 22} .0063295{col 34}  .070783{col 46} 1.392466{col 58}-.1328391{col 70}  .145498
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-.0179238{col 34} .0470471{col 46} 1.310582{col 58}-.1102787{col 70} .0744311
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0483818{col 34} .0941703{col 58}-.2332463{col 70} .1364826
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -0.5138
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 760.638

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3038         {txt}Pr(|T| > |t|) = {res}0.6076          {txt}Pr(T > t) = {res}0.6962
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandTrust
. *LowInfo:
. ttest IPCandTrust if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 3.060302{col 34} .0437089{col 46} .6165904{col 58} 2.974107{col 70} 3.146496
     {txt}Yes {c |}{res}{col 12}    190{col 22} 3.336842{col 34} .0467377{col 46} .6442341{col 58} 3.244648{col 70} 3.429037
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22} 3.195373{col 34} .0326758{col 46} .6444683{col 58} 3.131129{col 70} 3.259617
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2765406{col 34} .0639262{col 58}-.4022268{col 70}-.1508544
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -4.3259
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.6444682754965819
               {txt}r(sd_2) =  {res}.6442341142666712
               {txt}r(sd_1) =  {res}.6165904207964293
                 {txt}r(se) =  {res}.0639262207718564
                {txt}r(p_u) =  {res}.999990322943801
                {txt}r(p_l) =  {res}9.67705619905e-06
                  {txt}r(p) =  {res}.0000193541123981
                  {txt}r(t) =  {res}-4.325933777821851
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}3.336842105263158
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}3.060301507537688
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandTrust if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 3.140777{col 34} .0503169{col 46} .7221833{col 58} 3.041572{col 70} 3.239982
     {txt}Yes {c |}{res}{col 12}    181{col 22} 3.127072{col 34} .0537362{col 46} .7229467{col 58} 3.021038{col 70} 3.233106
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 3.134367{col 34} .0366828{col 46} .7216362{col 58} 3.062244{col 70}  3.20649
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0137049{col 34} .0736113{col 58}-.1310257{col 70} .1584354
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.1862
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5738         {txt}Pr(|T| > |t|) = {res}0.8524          {txt}Pr(T > t) = {res}0.4262
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.7216362378898783
               {txt}r(sd_2) =  {res}.7229467018402238
               {txt}r(sd_1) =  {res}.7221832607368871
                 {txt}r(se) =  {res}.0736113286714134
                {txt}r(p_u) =  {res}.4262012652890947
                {txt}r(p_l) =  {res}.5737987347109053
                  {txt}r(p) =  {res}.8524025305781894
                  {txt}r(t) =  {res}.1861788949073544
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}3.12707182320442
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}3.140776699029126
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22}-.2765406{col 34} .0639262{col 46} 1.260822{col 58}-.4022258{col 70}-.1508555
       {txt}y {c |}{res}{col 12}    387{col 22} .0137049{col 34} .0736113{col 46} 1.448105{col 58}-.1310245{col 70} .1584342
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-.1317919{col 34} .0489766{col 46}  1.36433{col 58}-.2279344{col 70}-.0356494
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2902455{col 34} .0974946{col 58}-.4816367{col 70}-.0988543
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -2.9770
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 758.548

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0015         {txt}Pr(|T| > |t|) = {res}0.0030          {txt}Pr(T > t) = {res}0.9985
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandEcon
. *LowInfo:
. ttest IPCandEcon if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 2.949749{col 34} .0476591{col 46}  .672315{col 58} 2.855764{col 70} 3.043733
     {txt}Yes {c |}{res}{col 12}    190{col 22} 3.189474{col 34}  .047546{col 46} .6553764{col 58} 3.095685{col 70} 3.283263
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22} 3.066838{col 34} .0341735{col 46}  .674006{col 58}  2.99965{col 70} 3.134026
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2397249{col 34} .0673601{col 58}-.3721625{col 70}-.1072874
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -3.5589
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0002         {txt}Pr(|T| > |t|) = {res}0.0004          {txt}Pr(T > t) = {res}0.9998
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.6740059706305704
               {txt}r(sd_2) =  {res}.6553764109613313
               {txt}r(sd_1) =  {res}.6723150394785318
                 {txt}r(se) =  {res}.0673601058132952
                {txt}r(p_u) =  {res}.9997906200773916
                {txt}r(p_l) =  {res}.0002093799226084
                  {txt}r(p) =  {res}.0004187598452169
                  {txt}r(t) =  {res}-3.55885635269619
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}3.189473684210526
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}2.949748743718593
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandEcon if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 3.087379{col 34} .0525069{col 46} .7536163{col 58} 2.983856{col 70} 3.190901
     {txt}Yes {c |}{res}{col 12}    181{col 22} 3.088398{col 34} .0527296{col 46} .7094036{col 58}  2.98435{col 70} 3.192445
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 3.087855{col 34} .0372263{col 46}  .732327{col 58} 3.014664{col 70} 3.161047
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0010191{col 34} .0747052{col 58}-.1479004{col 70} .1458621
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.0136
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4946         {txt}Pr(|T| > |t|) = {res}0.9891          {txt}Pr(T > t) = {res}0.5054
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.7323270453060124
               {txt}r(sd_2) =  {res}.7094036437549971
               {txt}r(sd_1) =  {res}.7536162718519914
                 {txt}r(se) =  {res}.0747052013644185
                {txt}r(p_u) =  {res}.5054387802443621
                {txt}r(p_l) =  {res}.4945612197556379
                  {txt}r(p) =  {res}.9891224395112759
                  {txt}r(t) =  {res}-.0136422800546156
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}3.088397790055249
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}3.087378640776699
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22}-.2397249{col 34} .0673601{col 46} 1.328549{col 58}-.3721614{col 70}-.1072884
       {txt}y {c |}{res}{col 12}    387{col 22}-.0010191{col 34} .0747052{col 46} 1.469624{col 58}-.1478992{col 70} .1458609
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-.1206797{col 34} .0504317{col 46} 1.404863{col 58}-.2196785{col 70}-.0216808
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2387058{col 34} .1005895{col 58}-.4361698{col 70}-.0412417
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -2.3731
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 765.446

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0089         {txt}Pr(|T| > |t|) = {res}0.0179          {txt}Pr(T > t) = {res}0.9911
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandMil
. *LowInfo:
. ttest IPCandMil if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 2.773869{col 34} .0505852{col 46} .7135914{col 58} 2.674115{col 70} 2.873624
     {txt}Yes {c |}{res}{col 12}    190{col 22} 2.778947{col 34} .0560254{col 46} .7722563{col 58} 2.668432{col 70} 2.889463
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22}  2.77635{col 34} .0376142{col 46} .7418673{col 58} 2.702397{col 70} 2.850303
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.005078{col 34} .0753452{col 58}-.1532152{col 70} .1430591
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.0674
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4732         {txt}Pr(|T| > |t|) = {res}0.9463          {txt}Pr(T > t) = {res}0.5268
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.7418672743237026
               {txt}r(sd_2) =  {res}.7722563295209057
               {txt}r(sd_1) =  {res}.7135914309450878
                 {txt}r(se) =  {res}.0753451856341196
                {txt}r(p_u) =  {res}.5268496745283907
                {txt}r(p_l) =  {res}.4731503254716093
                  {txt}r(p) =  {res}.9463006509432186
                  {txt}r(t) =  {res}-.0673967639026609
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}2.778947368421053
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}2.773869346733668
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandMil if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 2.917476{col 34} .0545355{col 46} .7827316{col 58} 2.809953{col 70} 3.024998
     {txt}Yes {c |}{res}{col 12}    181{col 22} 2.944751{col 34}  .058487{col 46} .7868627{col 58} 2.829343{col 70}  3.06016
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 2.930233{col 34} .0398411{col 46} .7837671{col 58}   2.8519{col 70} 3.008565
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0272757{col 34} .0799406{col 58}-.1844504{col 70} .1298991
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -0.3412
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3666         {txt}Pr(|T| > |t|) = {res}0.7331          {txt}Pr(T > t) = {res}0.6334
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.7837671072576896
               {txt}r(sd_2) =  {res}.7868626655979877
               {txt}r(sd_1) =  {res}.7827315752671531
                 {txt}r(se) =  {res}.0799405725400229
                {txt}r(p_u) =  {res}.6334300918519765
                {txt}r(p_l) =  {res}.3665699081480235
                  {txt}r(p) =  {res}.733139816296047
                  {txt}r(t) =  {res}-.3411991207152557
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}2.94475138121547
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}2.91747572815534
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22} -.005078{col 34} .0753452{col 46} 1.486039{col 58} -.153214{col 70} .1430579
       {txt}y {c |}{res}{col 12}    387{col 22}-.0272757{col 34} .0799406{col 46} 1.572616{col 58}-.1844491{col 70} .1298978
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-.0161482{col 34} .0548836{col 46} 1.528882{col 58}-.1238865{col 70}   .09159
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0221976{col 34} .1098517{col 58}-.1934462{col 70} .2378415
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res}  0.2021
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 771.063

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5800         {txt}Pr(|T| > |t|) = {res}0.8399          {txt}Pr(T > t) = {res}0.4200
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandPoor
. *LowInfo:
. ttest IPCandPoor if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 3.100503{col 34} .0518649{col 46} .7316439{col 58} 2.998224{col 70} 3.202781
     {txt}Yes {c |}{res}{col 12}    190{col 22} 3.257895{col 34} .0484695{col 46} .6681062{col 58} 3.162284{col 70} 3.353505
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22} 3.177378{col 34} .0357371{col 46}  .704845{col 58} 3.107115{col 70}  3.24764
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1573922{col 34} .0711371{col 58}-.2972557{col 70}-.0175287
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -2.2125
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0138         {txt}Pr(|T| > |t|) = {res}0.0275          {txt}Pr(T > t) = {res}0.9862
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.7048450247333957
               {txt}r(sd_2) =  {res}.668106215198577
               {txt}r(sd_1) =  {res}.731643886401579
                 {txt}r(se) =  {res}.0711370686394756
                {txt}r(p_u) =  {res}.9862430510331253
                {txt}r(p_l) =  {res}.0137569489668747
                  {txt}r(p) =  {res}.0275138979337494
                  {txt}r(t) =  {res}-2.212520522555668
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}3.257894736842105
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}3.100502512562814
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandPoor if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 3.116505{col 34} .0617842{col 46} .8867696{col 58} 2.994691{col 70} 3.238319
     {txt}Yes {c |}{res}{col 12}    181{col 22} 3.110497{col 34} .0596156{col 46} .8020462{col 58} 2.992862{col 70} 3.228133
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 3.113695{col 34} .0430615{col 46} .8471186{col 58} 3.029031{col 70} 3.198359
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0060076{col 34} .0864146{col 58}-.1638961{col 70} .1759113
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res}  0.0695
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5277         {txt}Pr(|T| > |t|) = {res}0.9446          {txt}Pr(T > t) = {res}0.4723
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.8471185785141987
               {txt}r(sd_2) =  {res}.8020461861479978
               {txt}r(sd_1) =  {res}.8867696472553588
                 {txt}r(se) =  {res}.0864146455740295
                {txt}r(p_u) =  {res}.4723055784769404
                {txt}r(p_l) =  {res}.5276944215230597
                  {txt}r(p) =  {res}.9446111569538808
                  {txt}r(t) =  {res}.0695208174489874
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}3.110497237569061
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}3.116504854368932
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22}-.1573922{col 34} .0711371{col 46} 1.403042{col 58}-.2972546{col 70}-.0175298
       {txt}y {c |}{res}{col 12}    387{col 22} .0060076{col 34} .0864146{col 46} 1.699976{col 58}-.1638947{col 70} .1759099
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-.0759029{col 34} .0559775{col 46} 1.559354{col 58}-.1857884{col 70} .0339827
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1633998{col 34} .1119284{col 58}-.3831322{col 70} .0563325
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -1.4599
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 745.726

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0724         {txt}Pr(|T| > |t|) = {res}0.1447          {txt}Pr(T > t) = {res}0.9276
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. *IPCandWages
. *LowInfo:
. ttest IPCandWages if MaxInfo==0, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    199{col 22} 2.929648{col 34} .0491063{col 46} .6927295{col 58}  2.83281{col 70} 3.026487
     {txt}Yes {c |}{res}{col 12}    190{col 22} 3.394737{col 34} .0520787{col 46} .7178552{col 58} 3.292007{col 70} 3.497467
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    389{col 22} 3.156812{col 34} .0376047{col 46} .7416797{col 58} 3.082878{col 70} 3.230747
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.4650886{col 34} .0715203{col 58}-.6057057{col 70}-.3244715
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -6.5029
{txt}Ho: diff = 0                                     degrees of freedom = {res}     387

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.7416797029061929
               {txt}r(sd_2) =  {res}.7178551859168023
               {txt}r(sd_1) =  {res}.6927294696092211
                 {txt}r(se) =  {res}.071520342793601
                {txt}r(p_u) =  {res}.9999999998782004
                {txt}r(p_l) =  {res}1.21799572358e-10
                  {txt}r(p) =  {res}2.43599144715e-10
                  {txt}r(t) =  {res}-6.502885511069511
               {txt}r(df_t) =  {res}387
               {txt}r(mu_2) =  {res}3.394736842105263
                {txt}r(N_2) =  {res}190
               {txt}r(mu_1) =  {res}2.92964824120603
                {txt}r(N_1) =  {res}199
{txt}
{com}. gen LOW_N = r(N_1)+r(N_2)
{txt}
{com}. gen LOW_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen LOW_SD=sqrt(LOW_N)*(r(se))
{txt}
{com}. 
. *HighInfo
. ttest IPCandWages if MaxInfo==1, by(FemCand)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
      No {c |}{res}{col 12}    206{col 22} 3.029126{col 34}  .054585{col 46} .7834422{col 58} 2.921506{col 70} 3.136746
     {txt}Yes {c |}{res}{col 12}    181{col 22}  3.18232{col 34} .0556736{col 46}  .749012{col 58} 3.072464{col 70} 3.292177
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    387{col 22} 3.100775{col 34} .0391593{col 46} .7703538{col 58} 3.023783{col 70} 3.177767
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.1531942{col 34} .0781956{col 58} -.306938{col 70} .0005495
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}No{txt}) - mean({res}Yes{txt})                                   t = {res} -1.9591
{txt}Ho: diff = 0                                     degrees of freedom = {res}     385

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0254         {txt}Pr(|T| > |t|) = {res}0.0508          {txt}Pr(T > t) = {res}0.9746
{txt}
{com}. return list

{txt}scalars:
              r(level) =  {res}95
                 {txt}r(sd) =  {res}.7703538105135168
               {txt}r(sd_2) =  {res}.7490120360046315
               {txt}r(sd_1) =  {res}.783442194292151
                 {txt}r(se) =  {res}.0781955510138873
                {txt}r(p_u) =  {res}.9745897809907698
                {txt}r(p_l) =  {res}.0254102190092302
                  {txt}r(p) =  {res}.0508204380184604
                  {txt}r(t) =  {res}-1.959116937094161
               {txt}r(df_t) =  {res}385
               {txt}r(mu_2) =  {res}3.18232044198895
                {txt}r(N_2) =  {res}181
               {txt}r(mu_1) =  {res}3.029126213592233
                {txt}r(N_1) =  {res}206
{txt}
{com}. gen HI_N = r(N_1)+r(N_2)
{txt}
{com}. gen HI_EFF=r(mu_1)-r(mu_2) 
{txt}
{com}. gen HI_SD=sqrt(HI_N)*(r(se))
{txt}
{com}. 
. ttesti `=LOW_N[1]' `=LOW_EFF[1]' `=LOW_SD[1]' `=HI_N[1]' `=HI_EFF[1]' `=HI_SD[1]', unequal

{txt}Two-sample t test with unequal variances
{hline 9}{c TT}{hline 68}
{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       x {c |}{res}{col 12}    389{col 22}-.4650886{col 34} .0715203{col 46} 1.410602{col 58}-.6057045{col 70}-.3244727
       {txt}y {c |}{res}{col 12}    387{col 22}-.1531942{col 34} .0781955{col 46} 1.538288{col 58}-.3069368{col 70} .0005483
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    776{col 22}-.3095433{col 34} .0532345{col 46} 1.482942{col 58}-.4140443{col 70}-.2050424
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.3118944{col 34} .1059703{col 58}-.5199204{col 70}-.1038684
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}x{txt}) - mean({res}y{txt})                                      t = {res} -2.9432
{txt}Ho: diff = 0                     Satterthwaite's degrees of freedom = {res} 767.563

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0017         {txt}Pr(|T| > |t|) = {res}0.0033          {txt}Pr(T > t) = {res}0.9983
{txt}
{com}. drop LOW_* HI_*
{txt}
{com}. 
. 
. 
. 
. 
. *******TABLE 3. Oneway ANOVA's of time spent in experiment (Substage and Total), by Group
. 
. oneway  PreQTimeADJ Groups, tabulate scheffe

{txt}Information {c |}
Presenation {c |}       Summary of PreQTimeADJ
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res} 260.21679   169.24157         200
  {txt}Basic Dyn {c |}  {res} 288.11991   225.93708         189
  {txt}Static In {c |}  {res} 291.51982   245.68518         187
  {txt}Full Dyno {c |}  {res} 279.16835   217.56737         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 279.44059   215.70365         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 115447.914      3   38482.6381      0.83     0.4794
{txt} Within groups     {res} 35943802.8    772     46559.33
{txt}{hline 72}
    Total          {res} 36059250.7    775   46528.0654

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res} 27.7387{txt}  Prob>chi2 = {res}0.000

         {txt}Comparison of PreQTimeADJ by Information Presenation Groups
                                  (Scheffe)
Row Mean-{c |}
Col Mean {c |}   News Art   Basic Dy   Static I
{hline 9}{c +}{hline 33}
Basic Dy {c |}   {res} 27.9031
         {txt}{c |}  {res}    0.654
         {txt}{c |}
Static I {c |}   {res}  31.303    3.39991
         {txt}{c |}  {res}    0.566      0.999
         {txt}{c |}
Full Dyn {c |}   {res} 18.9516   -8.95156   -12.3515
         {txt}{c |}  {res}    0.856      0.983      0.957
{txt}
{com}. 
. oneway  PracTimeADJ  Groups, tabulate scheffe

{txt}Information {c |}
Presenation {c |}       Summary of PracTimeADJ
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res} 148.46612   65.037958         200
  {txt}Basic Dyn {c |}  {res}  176.2685   112.08491         189
  {txt}Static In {c |}  {res} 228.01794   186.77555         187
  {txt}Full Dyno {c |}  {res} 166.24243   92.232827         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 178.98944   124.71826         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res}  669740.56      3   223246.853     15.14     0.0000
{txt} Within groups     {res} 11385108.4    772   14747.5497
{txt}{hline 72}
    Total          {res}   12054849    775   15554.6438

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res}227.5243{txt}  Prob>chi2 = {res}0.000

         {txt}Comparison of PracTimeADJ by Information Presenation Groups
                                  (Scheffe)
Row Mean-{c |}
Col Mean {c |}   News Art   Basic Dy   Static I
{hline 9}{c +}{hline 33}
Basic Dy {c |}   {res} 27.8024
         {txt}{c |}  {res}    0.166
         {txt}{c |}
Static I {c |}   {res} 79.5518    51.7494
         {txt}{c |}  {res}    0.000      0.001
         {txt}{c |}
Full Dyn {c |}   {res} 17.7763   -10.0261   -61.7755
         {txt}{c |}  {res}    0.544      0.882      0.000
{txt}
{com}. 
. oneway  CampTimeADJ Groups, tabulate scheffe

{txt}Information {c |}
Presenation {c |}       Summary of CampTimeADJ
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res} 115.02096   74.952559         200
  {txt}Basic Dyn {c |}  {res} 113.82603    49.59784         189
  {txt}Static In {c |}  {res} 306.34899   155.13904         187
  {txt}Full Dyno {c |}  {res} 277.11762   85.725086         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 202.61352    132.7934         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 6146908.02      3   2048969.34    210.36     0.0000
{txt} Within groups     {res} 7519508.99    772   9740.29661
{txt}{hline 72}
    Total          {res}   13666417    775   17634.0865

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res}255.4804{txt}  Prob>chi2 = {res}0.000

         {txt}Comparison of CampTimeADJ by Information Presenation Groups
                                  (Scheffe)
Row Mean-{c |}
Col Mean {c |}   News Art   Basic Dy   Static I
{hline 9}{c +}{hline 33}
Basic Dy {c |}   {res}-1.19493
         {txt}{c |}  {res}    1.000
         {txt}{c |}
Static I {c |}   {res} 191.328    192.523
         {txt}{c |}  {res}    0.000      0.000
         {txt}{c |}
Full Dyn {c |}   {res} 162.097    163.292   -29.2314
         {txt}{c |}  {res}    0.000      0.000      0.038
{txt}
{com}. 
. oneway  FinQTime Groups, tabulate scheffe

{txt}Information {c |}   Summary of Total time answering
Presenation {c |}           final questions
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res} 153.27589   70.616193         200
  {txt}Basic Dyn {c |}  {res}  157.6256   91.890589         189
  {txt}Static In {c |}  {res} 162.61433   91.182956         186
  {txt}Full Dyno {c |}  {res} 156.46081     137.261         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res}  157.3998   100.87386         775

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 8644.89585      3   2881.63195      0.28     0.8381
{txt} Within groups     {res} 7867219.12    771   10203.9159
{txt}{hline 72}
    Total          {res} 7875864.02    774   10175.5349

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res} 93.7279{txt}  Prob>chi2 = {res}0.000

              {txt}Comparison of Total time answering final questions
                      by Information Presenation Groups
                                  (Scheffe)
Row Mean-{c |}
Col Mean {c |}   News Art   Basic Dy   Static I
{hline 9}{c +}{hline 33}
Basic Dy {c |}   {res} 4.34971
         {txt}{c |}  {res}    0.981
         {txt}{c |}
Static I {c |}   {res} 9.33844    4.98874
         {txt}{c |}  {res}    0.844      0.973
         {txt}{c |}
Full Dyn {c |}   {res} 3.18492   -1.16479   -6.15352
         {txt}{c |}  {res}    0.992      1.000      0.949
{txt}
{com}. 
. oneway TotTime  Groups, tabulate scheffe

{txt}Information {c |}   Summary of Total time spent in
Presenation {c |}                stage
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res} 680.84024   256.57456         200
  {txt}Basic Dyn {c |}  {res} 739.61932   314.61463         189
  {txt}Static In {c |}  {res} 993.04509   430.86948         187
  {txt}Full Dyno {c |}  {res} 882.95937   325.32309         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 822.48377   357.01743         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 11481856.6      3   3827285.55     33.84     0.0000
{txt} Within groups     {res} 87300765.5    772   113083.893
{txt}{hline 72}
    Total          {res} 98782622.2    775   127461.448

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res} 53.5703{txt}  Prob>chi2 = {res}0.000

  {txt}Comparison of Total time spent in stage by Information Presenation Groups
                                  (Scheffe)
Row Mean-{c |}
Col Mean {c |}   News Art   Basic Dy   Static I
{hline 9}{c +}{hline 33}
Basic Dy {c |}   {res} 58.7791
         {txt}{c |}  {res}    0.397
         {txt}{c |}
Static I {c |}   {res} 312.205    253.426
         {txt}{c |}  {res}    0.000      0.000
         {txt}{c |}
Full Dyn {c |}   {res} 202.119     143.34   -110.086
         {txt}{c |}  {res}    0.000      0.001      0.016
{txt}
{com}. 
. 
. 
. 
. *******TABLE 4. Oneway ANOVA's of information viewed (Unique and Total), by Group
. 
. oneway TotItemsAdj Groups, tabulate scheffe

{txt}Information {c |}   Summary of Adjusted Total Opns
Presenation {c |}       where NewsArts = 5 each
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res}        10           0         200
  {txt}Basic Dyn {c |}  {res} 8.1746032   1.6998719         189
  {txt}Static In {c |}  {res}  7.144385   3.1666114         187
  {txt}Full Dyno {c |}  {res}     21.64    6.595293         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 11.867268   6.9664013         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 26546.9089      3   8848.96964    617.42     0.0000
{txt} Within groups     {res} 11064.4197    772   14.3321499
{txt}{hline 72}
    Total          {res} 37611.3286    775   48.5307466

{txt}Bartlett's test for equal variances:  chi2({res}2{txt}) = {res}316.6407{txt}  Prob>chi2 = {res}0.000

{txt}note: Bartlett's test performed on cells with positive variance:
      1 multiple-observation cells not used

          Comparison of Adjusted Total Opns where NewsArts = 5 each
                      by Information Presenation Groups
                                  (Scheffe)
Row Mean-{c |}
Col Mean {c |}   News Art   Basic Dy   Static I
{hline 9}{c +}{hline 33}
Basic Dy {c |}   {res} -1.8254
         {txt}{c |}  {res}    0.000
         {txt}{c |}
Static I {c |}   {res}-2.85561   -1.03022
         {txt}{c |}  {res}    0.000      0.074
         {txt}{c |}
Full Dyn {c |}   {res}   11.64    13.4654    14.4956
         {txt}{c |}  {res}    0.000      0.000      0.000
{txt}
{com}. 
. oneway TotOpnsAdj Groups, tabulate scheffe

{txt}Information {c |}   Summary of Adjusted Total Opns
Presenation {c |}       where NewsArts = 5 each
     Groups {c |}        Mean   Std. Dev.       Freq.
{hline 12}{c +}{hline 36}
  News Arti {c |}  {res}      11.6    4.827684         200
  {txt}Basic Dyn {c |}  {res}  11.31746   4.3005148         189
  {txt}Static In {c |}  {res}  9.342246   3.4361271         187
  {txt}Full Dyno {c |}  {res}    25.875   10.967259         200
{txt}{hline 12}{c +}{hline 36}
      Total {c |}  {res} 14.666237   9.4134122         776

                        {txt}Analysis of Variance
    Source              SS         df      MS            F     Prob > F
{hline 72}
Between groups     {res} 34427.6318      3   11475.8773    258.69     0.0000
{txt} Within groups     {res} 34246.9236    772      44.3613
{txt}{hline 72}
    Total          {res} 68674.5554    775   88.6123296

{txt}Bartlett's test for equal variances:  chi2({res}3{txt}) = {res}339.5394{txt}  Prob>chi2 = {res}0.000

          {txt}Comparison of Adjusted Total Opns where NewsArts = 5 each
                      by Information Presenation Groups
                                  (Scheffe)
Row Mean-{c |}
Col Mean {c |}   News Art   Basic Dy   Static I
{hline 9}{c +}{hline 33}
Basic Dy {c |}   {res} -.28254
         {txt}{c |}  {res}    0.982
         {txt}{c |}
Static I {c |}   {res}-2.25775   -1.97521
         {txt}{c |}  {res}    0.012      0.042
         {txt}{c |}
Full Dyn {c |}   {res}  14.275    14.5575    16.5328
         {txt}{c |}  {res}    0.000      0.000      0.000
{txt}
{com}. 
. 
. 
. 
. 
. *******TABLE 5. Percentage of subjects viewing an attribute, by Group*************
. 
. tab1 Att_AbortzItems Att_CrimeItems Att_DefItems Att_EconPhilItems Att_EditItems Att_EducItems Att_EducPolItems Att_EnergyItems Att_FamItems Att_GlbWrmItems Att_GunsItems Att_HealthItems Att_ImmigItems Att_IranItems Att_JobsItems Att_PolExpItems Att_ReligItems Att_SocPhilItems Att_TaxesItems Att_TerrorItems if Groups==1

{res}-> tabulation of Att_AbortzItems if Groups==1 

   {txt}Did Subj {c |}
    view an {c |}
   abortion {c |}
  attribute {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_CrimeItems if Groups==1 

{txt}Att_CrimeIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_DefItems if Groups==1 

{txt}Att_DefItem {c |}
          s {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EconPhilItems if Groups==1 

{txt}Att_EconPhi {c |}
     lItems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EditItems if Groups==1 

{txt}Att_EditIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EducItems if Groups==1 

{txt}Att_EducIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EducPolItems if Groups==1 

{txt}Att_EducPol {c |}
      Items {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EnergyItems if Groups==1 

{txt}Att_EnergyI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_FamItems if Groups==1 

{txt}Att_FamItem {c |}
          s {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_GlbWrmItems if Groups==1 

{txt}Att_GlbWrmI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_GunsItems if Groups==1 

{txt}Att_GunsIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_HealthItems if Groups==1 

{txt}Att_HealthI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_ImmigItems if Groups==1 

{txt}Att_ImmigIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_IranItems if Groups==1 

{txt}Att_IranIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_JobsItems if Groups==1 

{txt}Att_JobsIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_PolExpItems if Groups==1 

{txt}Att_PolExpI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_ReligItems if Groups==1 

{txt}Att_ReligIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_SocPhilItems if Groups==1 

{txt}Att_SocPhil {c |}
      Items {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_TaxesItems if Groups==1 

{txt}Att_TaxesIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_TerrorItems if Groups==1 

{txt}Att_TerrorI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        200      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00
{txt}
{com}. 
. tab1 Att_AbortzItems Att_CrimeItems Att_DefItems Att_EconPhilItems Att_EditItems Att_EducItems Att_EducPolItems Att_EnergyItems Att_FamItems Att_GlbWrmItems Att_GunsItems Att_HealthItems Att_ImmigItems Att_IranItems Att_JobsItems Att_PolExpItems Att_ReligItems Att_SocPhilItems Att_TaxesItems Att_TerrorItems if Groups==2

{res}-> tabulation of Att_AbortzItems if Groups==2 

   {txt}Did Subj {c |}
    view an {c |}
   abortion {c |}
  attribute {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_CrimeItems if Groups==2 

{txt}Att_CrimeIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_DefItems if Groups==2 

{txt}Att_DefItem {c |}
          s {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_EconPhilItems if Groups==2 

{txt}Att_EconPhi {c |}
     lItems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_EditItems if Groups==2 

{txt}Att_EditIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}          9        4.76        4.76
{txt}          1 {c |}{res}        180       95.24      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_EducItems if Groups==2 

{txt}Att_EducIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         14        7.41        7.41
{txt}          1 {c |}{res}        175       92.59      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_EducPolItems if Groups==2 

{txt}Att_EducPol {c |}
      Items {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_EnergyItems if Groups==2 

{txt}Att_EnergyI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_FamItems if Groups==2 

{txt}Att_FamItem {c |}
          s {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         17        8.99        8.99
{txt}          1 {c |}{res}        172       91.01      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_GlbWrmItems if Groups==2 

{txt}Att_GlbWrmI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_GunsItems if Groups==2 

{txt}Att_GunsIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_HealthItems if Groups==2 

{txt}Att_HealthI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_ImmigItems if Groups==2 

{txt}Att_ImmigIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_IranItems if Groups==2 

{txt}Att_IranIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_JobsItems if Groups==2 

{txt}Att_JobsIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_PolExpItems if Groups==2 

{txt}Att_PolExpI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}          5        2.65        2.65
{txt}          1 {c |}{res}        184       97.35      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_ReligItems if Groups==2 

{txt}Att_ReligIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         12        6.35        6.35
{txt}          1 {c |}{res}        177       93.65      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_SocPhilItems if Groups==2 

{txt}Att_SocPhil {c |}
      Items {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_TaxesItems if Groups==2 

{txt}Att_TaxesIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00

-> tabulation of Att_TerrorItems if Groups==2 

{txt}Att_TerrorI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        189      100.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        189      100.00
{txt}
{com}. 
. tab1 Att_AbortzItems Att_CrimeItems Att_DefItems Att_EconPhilItems Att_EditItems Att_EducItems Att_EducPolItems Att_EnergyItems Att_FamItems Att_GlbWrmItems Att_GunsItems Att_HealthItems Att_ImmigItems Att_IranItems Att_JobsItems Att_PolExpItems Att_ReligItems Att_SocPhilItems Att_TaxesItems Att_TerrorItems if Groups==3

{res}-> tabulation of Att_AbortzItems if Groups==3 

   {txt}Did Subj {c |}
    view an {c |}
   abortion {c |}
  attribute {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        100       53.48       53.48
{txt}          1 {c |}{res}         87       46.52      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_CrimeItems if Groups==3 

{txt}Att_CrimeIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        156       83.42       83.42
{txt}          1 {c |}{res}         31       16.58      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_DefItems if Groups==3 

{txt}Att_DefItem {c |}
          s {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        153       81.82       81.82
{txt}          1 {c |}{res}         34       18.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_EconPhilItems if Groups==3 

{txt}Att_EconPhi {c |}
     lItems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        100       53.48       53.48
{txt}          1 {c |}{res}         87       46.52      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_EditItems if Groups==3 

{txt}Att_EditIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        167       89.30       89.30
{txt}          1 {c |}{res}         20       10.70      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_EducItems if Groups==3 

{txt}Att_EducIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        161       86.10       86.10
{txt}          1 {c |}{res}         26       13.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_EducPolItems if Groups==3 

{txt}Att_EducPol {c |}
      Items {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        153       81.82       81.82
{txt}          1 {c |}{res}         34       18.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_EnergyItems if Groups==3 

{txt}Att_EnergyI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        171       91.44       91.44
{txt}          1 {c |}{res}         16        8.56      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_FamItems if Groups==3 

{txt}Att_FamItem {c |}
          s {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        177       94.65       94.65
{txt}          1 {c |}{res}         10        5.35      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_GlbWrmItems if Groups==3 

{txt}Att_GlbWrmI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        117       62.57       62.57
{txt}          1 {c |}{res}         70       37.43      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_GunsItems if Groups==3 

{txt}Att_GunsIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        137       73.26       73.26
{txt}          1 {c |}{res}         50       26.74      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_HealthItems if Groups==3 

{txt}Att_HealthI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        131       70.05       70.05
{txt}          1 {c |}{res}         56       29.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_ImmigItems if Groups==3 

{txt}Att_ImmigIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        149       79.68       79.68
{txt}          1 {c |}{res}         38       20.32      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_IranItems if Groups==3 

{txt}Att_IranIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        174       93.05       93.05
{txt}          1 {c |}{res}         13        6.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_JobsItems if Groups==3 

{txt}Att_JobsIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        131       70.05       70.05
{txt}          1 {c |}{res}         56       29.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_PolExpItems if Groups==3 

{txt}Att_PolExpI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        161       86.10       86.10
{txt}          1 {c |}{res}         26       13.90      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_ReligItems if Groups==3 

{txt}Att_ReligIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        152       81.28       81.28
{txt}          1 {c |}{res}         35       18.72      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_SocPhilItems if Groups==3 

{txt}Att_SocPhil {c |}
      Items {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        122       65.24       65.24
{txt}          1 {c |}{res}         65       34.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_TaxesItems if Groups==3 

{txt}Att_TaxesIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        135       72.19       72.19
{txt}          1 {c |}{res}         52       27.81      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00

-> tabulation of Att_TerrorItems if Groups==3 

{txt}Att_TerrorI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        139       74.33       74.33
{txt}          1 {c |}{res}         48       25.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        187      100.00
{txt}
{com}. 
. tab1 Att_AbortzItems Att_CrimeItems Att_DefItems Att_EconPhilItems Att_EditItems Att_EducItems Att_EducPolItems Att_EnergyItems Att_FamItems Att_GlbWrmItems Att_GunsItems Att_HealthItems Att_ImmigItems Att_IranItems Att_JobsItems Att_PolExpItems Att_ReligItems Att_SocPhilItems Att_TaxesItems Att_TerrorItems if Groups==4

{res}-> tabulation of Att_AbortzItems if Groups==4 

   {txt}Did Subj {c |}
    view an {c |}
   abortion {c |}
  attribute {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         33       16.50       16.50
{txt}          1 {c |}{res}        167       83.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_CrimeItems if Groups==4 

{txt}Att_CrimeIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         42       21.00       21.00
{txt}          1 {c |}{res}        158       79.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_DefItems if Groups==4 

{txt}Att_DefItem {c |}
          s {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         38       19.00       19.00
{txt}          1 {c |}{res}        162       81.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EconPhilItems if Groups==4 

{txt}Att_EconPhi {c |}
     lItems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         45       22.50       22.50
{txt}          1 {c |}{res}        155       77.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EditItems if Groups==4 

{txt}Att_EditIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         65       32.50       32.50
{txt}          1 {c |}{res}        135       67.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EducItems if Groups==4 

{txt}Att_EducIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         69       34.50       34.50
{txt}          1 {c |}{res}        131       65.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EducPolItems if Groups==4 

{txt}Att_EducPol {c |}
      Items {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         44       22.00       22.00
{txt}          1 {c |}{res}        156       78.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_EnergyItems if Groups==4 

{txt}Att_EnergyI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         45       22.50       22.50
{txt}          1 {c |}{res}        155       77.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_FamItems if Groups==4 

{txt}Att_FamItem {c |}
          s {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         74       37.00       37.00
{txt}          1 {c |}{res}        126       63.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_GlbWrmItems if Groups==4 

{txt}Att_GlbWrmI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         46       23.00       23.00
{txt}          1 {c |}{res}        154       77.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_GunsItems if Groups==4 

{txt}Att_GunsIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         27       13.50       13.50
{txt}          1 {c |}{res}        173       86.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_HealthItems if Groups==4 

{txt}Att_HealthI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         32       16.00       16.00
{txt}          1 {c |}{res}        168       84.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_ImmigItems if Groups==4 

{txt}Att_ImmigIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         35       17.50       17.50
{txt}          1 {c |}{res}        165       82.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_IranItems if Groups==4 

{txt}Att_IranIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         47       23.50       23.50
{txt}          1 {c |}{res}        153       76.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_JobsItems if Groups==4 

{txt}Att_JobsIte {c |}
         ms {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         39       19.50       19.50
{txt}          1 {c |}{res}        161       80.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_PolExpItems if Groups==4 

{txt}Att_PolExpI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         86       43.00       43.00
{txt}          1 {c |}{res}        114       57.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_ReligItems if Groups==4 

{txt}Att_ReligIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         54       27.00       27.00
{txt}          1 {c |}{res}        146       73.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_SocPhilItems if Groups==4 

{txt}Att_SocPhil {c |}
      Items {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         39       19.50       19.50
{txt}          1 {c |}{res}        161       80.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_TaxesItems if Groups==4 

{txt}Att_TaxesIt {c |}
        ems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         31       15.50       15.50
{txt}          1 {c |}{res}        169       84.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00

-> tabulation of Att_TerrorItems if Groups==4 

{txt}Att_TerrorI {c |}
       tems {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         41       20.50       20.50
{txt}          1 {c |}{res}        159       79.50      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}        200      100.00
{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/dander/Documents/Box Sync/Research/DPTE/SurvExpvsDPTE/3PA(R&R)/R&R/Final/Dataverse/InfoPres_Tables_StataLog.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}15 Feb 2018, 15:30:26
{txt}{.-}
{smcl}
{txt}{sf}{ul off}